| 核密度估计法支持下的网络空间 POI 点可视化与分析 禹文豪， 艾廷华 测绘学报 44 (1), 82, 2015 | 189* | 2015 |
| The analysis and delimitation of Central Business District using network kernel density estimation W Yu, T Ai, S Shao Journal of Transport Geography 45, 32-47, 2015 | 167 | 2015 |
| Spatial co-location pattern mining for location-based services in road networks W Yu Expert Systems with Applications 46, 324-335, 2016 | 110 | 2016 |
| 利用核密度与空间自相关进行城市设施兴趣点分布热点探测 禹文豪， 艾廷华， 杨敏， 刘纪平 武汉大学学报 (信息科学版) 41 (2), 221-227, 2016 | 83* | 2016 |
| Spatial co-location pattern mining of facility points-of-interest improved by network neighborhood and distance decay effects W Yu, T Ai, Y He, S Shao International Journal of Geographical Information Science 31 (2), 280-296, 2017 | 71 | 2017 |
| Discovering frequent movement paths from taxi trajectory data using spatially embedded networks and association rules W Yu IEEE Transactions on Intelligent Transportation Systems 20 (3), 855-866, 2018 | 64 | 2018 |
| Terrain feature-aware deep learning network for digital elevation model superresolution Y Zhang, W Yu, D Zhu ISPRS Journal of Photogrammetry and Remote Sensing 189, 143-162, 2022 | 59 | 2022 |
| Recognition of building group patterns using graph convolutional network R Zhao, T Ai, W Yu, Y He, Y Shen Cartography and Geographic Information Science 47 (5), 400-417, 2020 | 53 | 2020 |
| Road network generalization considering traffic flow patterns W Yu, Y Zhang, T Ai, Q Guan, Z Chen, H Li International Journal of Geographical Information Science 34 (1), 119-149, 2020 | 52 | 2020 |
| 设施 POI 分布热点分析的网络核密度估计方法 禹文豪， 艾廷华， 刘鹏程， 何亚坤 测绘学报 44 (12), 1378, 2015 | 46* | 2015 |
| Comparison of DEM super-resolution methods based on interpolation and neural networks Y Zhang, W Yu Sensors 22 (3), 745, 2022 | 38 | 2022 |
| Integrating spatial and non-spatial dimensions to measure urban fire service access Z Xia, H Li, Y Chen, W Yu ISPRS International Journal of Geo-Information 8 (3), 138, 2019 | 38 | 2019 |
| GeoGPT: understanding and processing geospatial tasks through an autonomous GPT Y Zhang, C Wei, S Wu, Z He, W Yu arXiv preprint arXiv:2307.07930, 2023 | 35 | 2023 |
| Impact of high-speed rail on urban economic development: An observation from the Beijing-Guangzhou line based on night-time light images Y Guo, W Yu, Z Chen, R Zou Socio-economic planning sciences 72, 100905, 2020 | 35 | 2020 |
| Generation of constrained network Voronoi diagram using linear tessellation and expansion method T Ai, W Yu, Y He Computers, Environment and Urban Systems 51, 83-96, 2015 | 34 | 2015 |
| The analysis and measurement of building patterns using texton co-occurrence matrices W Yu, T Ai, P Liu, X Cheng International Journal of Geographical Information Science 31 (6), 1079-1100, 2017 | 32 | 2017 |
| Detecting urban fire high-risk regions using colocation pattern measures Z Xia, H Li, Y Chen, W Yu Sustainable cities and society 49, 101607, 2019 | 29 | 2019 |
| A spatial co-location mining algorithm that includes adaptive proximity improvements and distant instance references X Yao, L Chen, C Wen, L Peng, L Yang, T Chi, X Wang, W Yu International Journal of Geographical Information Science 32 (5), 980-1005, 2018 | 29 | 2018 |
| Assessing the implications of the recent community opening policy on the street centrality in China: A GIS-based method and case study W Yu Applied Geography 89, 61-76, 2017 | 27 | 2017 |
| Data‐driven polyline simplification using a stacked autoencoder‐based deep neural network W Yu, Y Chen Transactions in GIS 26 (5), 2302-2325, 2022 | 25 | 2022 |
